Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data
Main Author: | |
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Publication Date: | 2023 |
Other Authors: | , , |
Format: | Article |
Language: | eng |
Source: | Repositório Institucional da UFRGS |
Download full: | http://hdl.handle.net/10183/278520 |
Summary: | A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015–2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton collisions was 25 ns, which resulted in overlapping signals from adjacent crossings. The energy corresponding to a particular bunch crossing of interest is estimated using the known pulse shapes of energy depositions in the calorimeter, which are measured as functions of both energy and time. A variety of algorithms were developed to mitigate the effects of adjacent bunch crossings on local energy reconstruction in the hadron calorimeter in Run 2, and their performance is compared. |
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Tumasyan, ArmenSilveira, Gustavo Gil daBernardes, César AugustoCMS Collaboration2024-09-06T06:39:35Z20231748-0221http://hdl.handle.net/10183/278520001198489A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015–2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton collisions was 25 ns, which resulted in overlapping signals from adjacent crossings. The energy corresponding to a particular bunch crossing of interest is estimated using the known pulse shapes of energy depositions in the calorimeter, which are measured as functions of both energy and time. A variety of algorithms were developed to mitigate the effects of adjacent bunch crossings on local energy reconstruction in the hadron calorimeter in Run 2, and their performance is compared.application/pdfengJournal of Instrumentation. Bristol. Vol. 18, no. 11 (Nov. 2023), P11017, 35 p.Aceleradores de partículasColisões proton-protonCalorimetrosCalorimetersData reduction methodsPerformance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 dataEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001198489.pdf.txt001198489.pdf.txtExtracted Texttext/plain100435http://www.lume.ufrgs.br/bitstream/10183/278520/2/001198489.pdf.txtc8199febbe7a0219174065d0619e2414MD52ORIGINAL001198489.pdfTexto completo (inglês)application/pdf2094631http://www.lume.ufrgs.br/bitstream/10183/278520/1/001198489.pdf2118d3a4f2a94c89e7fd35e005148e37MD5110183/2785202024-09-07 06:19:24.457748oai:www.lume.ufrgs.br:10183/278520Repositório InstitucionalPUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.bropendoar:2024-09-07T09:19:24Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data |
title |
Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data |
spellingShingle |
Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data Tumasyan, Armen Aceleradores de partículas Colisões proton-proton Calorimetros Calorimeters Data reduction methods |
title_short |
Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data |
title_full |
Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data |
title_fullStr |
Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data |
title_full_unstemmed |
Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data |
title_sort |
Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data |
author |
Tumasyan, Armen |
author_facet |
Tumasyan, Armen Silveira, Gustavo Gil da Bernardes, César Augusto CMS Collaboration |
author_role |
author |
author2 |
Silveira, Gustavo Gil da Bernardes, César Augusto CMS Collaboration |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Tumasyan, Armen Silveira, Gustavo Gil da Bernardes, César Augusto CMS Collaboration |
dc.subject.por.fl_str_mv |
Aceleradores de partículas Colisões proton-proton Calorimetros |
topic |
Aceleradores de partículas Colisões proton-proton Calorimetros Calorimeters Data reduction methods |
dc.subject.eng.fl_str_mv |
Calorimeters Data reduction methods |
description |
A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015–2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton collisions was 25 ns, which resulted in overlapping signals from adjacent crossings. The energy corresponding to a particular bunch crossing of interest is estimated using the known pulse shapes of energy depositions in the calorimeter, which are measured as functions of both energy and time. A variety of algorithms were developed to mitigate the effects of adjacent bunch crossings on local energy reconstruction in the hadron calorimeter in Run 2, and their performance is compared. |
publishDate |
2023 |
dc.date.issued.fl_str_mv |
2023 |
dc.date.accessioned.fl_str_mv |
2024-09-06T06:39:35Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/278520 |
dc.identifier.issn.pt_BR.fl_str_mv |
1748-0221 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001198489 |
identifier_str_mv |
1748-0221 001198489 |
url |
http://hdl.handle.net/10183/278520 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Journal of Instrumentation. Bristol. Vol. 18, no. 11 (Nov. 2023), P11017, 35 p. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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